XMap: results for OAEI 2015

The advantages of agglomerative algorithms are that we don’t have to know the size and the number of modules and the result of these algorithms depend on the cho- sen

Semantic similarity is used to include similarity measures that use an ontology’s structure or external knowledge sources to determine similarity between

However, these techniques focus on utilizing few word-to-word (word-level) similarity measures, without giving due consideration to activity- level aggregation methods. The

5) First literal based convergence: walkers step onto similar literals after the first step - this is considered significant because it is the only step where the literals

The similarity measure introduced by Zadeh and Reformat (2013) is similar to ours in the sense that it uses Tversky’s feature-based model for calculating similarity and then

The task 3a of the BioASQ challenge consists in indexing new biomedical papers with MeSH concepts.. The need of document indexed by terms of a thesaurus like the MeSH has already

The notion of Kolmogorov complexity [15] is an objec- tive measure for the information in an a single object, and information distance measures the information between a pair of

We cannot compute the normalized information distance, which is expressed in terms of the noncomputable Kolmogorov complexities of the objects concerned. Instead, we look at whether